tskrrImputeHomogeneous is a subclass of the
specifically for homogeneous networks with imputed values. It is
the result of the function
impute_tskrr on a
homogeneous network model.
the matrix with responses
the eigen decomposition of the kernel matrix for the rows
the lambda value used for k
the matrix with the predictions
a character value that can have the possible values
"not". It indicates
y matrix is symmetric, skewed-symmetric or not
a logical value indicating whether the kernel hat matrices are stored in the object.
the kernel hat matrix for the rows.
a list with elements
tskrr-class). For homogeneous networks,
NA, the labels used
are integers indicating the row resp column number.
a vector with integer values indicating which of
the values in
y are imputed
an integer value gving the number of iterations used
a numeric value with the tolerance used
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.